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Active mining [electronic resource] : new directions of data mining / edited by Hiroshi Motoda.

Contributor(s): Motoda, Hiroshi.
Material type: TextTextSeries: Frontiers in artificial intelligence and applications: v. 79.; Frontiers in artificial intelligence and applicationsKnowledge-based intelligent engineering systems: v. 3.Publisher: Amsterdam ; Washington, DC : Tokyo : IOS Press ; Ohmsha, c2002Description: 1 online resource (x, 291 p.) : ill.ISBN: 0585458901 (electronic bk.); 9780585458908 (electronic bk.); 160129400X; 9781601294005.Subject(s): Data mining | COMPUTERS -- Enterprise Applications -- Business Intelligence Tools | COMPUTERS -- Intelligence (AI) & Semantics | Electronic books | Electronic books | Exploration de donn�ees (Informatique) | Data miningGenre/Form: Electronic books.Additional physical formats: Print version:: Active mining.DDC classification: 006.3 Other classification: 54.64 Online resources: EBSCOhost
Contents:
Cover; Title page; Preface; Acknowledgments; Contents; I. Data Collection; Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources; Data Mining on the WAVEs -- Word-of-mouth-Assisting Virtual Environments; Immune Network-based Clustering for WWW Information Gathering/Visualization; Interactive Web Page Retrieval with Relational Learning-based Filtering Rules; Monitoring Partial Update of Web Pages by Interactive Relational Learning; Context-based Classification of Technical Terms Using Support Vector Machines.
Summary: Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences.
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Includes bibliographical references and author index.

Description based on print version record.

Cover; Title page; Preface; Acknowledgments; Contents; I. Data Collection; Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources; Data Mining on the WAVEs -- Word-of-mouth-Assisting Virtual Environments; Immune Network-based Clustering for WWW Information Gathering/Visualization; Interactive Web Page Retrieval with Relational Learning-based Filtering Rules; Monitoring Partial Update of Web Pages by Interactive Relational Learning; Context-based Classification of Technical Terms Using Support Vector Machines.

Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences.

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Other editions of this work

Active mining ©2002
Active mining ©2002
Active mining ©2002
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